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Trans-Atlantic Training (TAT-11): Earth Observation and Machine Learning for Disaster Mapping

The material from this course is for MSc/PhD students and early career scientists.

Description

This post contains educational material from the Trans-Atlantic Training (TAT-11): Earth Observation and Machine Learning for Disaster Mapping course held in Chania, Greece, from the 14th July – 17th July 2024.

Access specific videos (click on ), presentation slides (click on ), and exercise data (click on ) from the sessions here below, or download all the theory slides, practical slides and datasets from the link on the left side window.

Introduction to SAR Missions, Techniques, and Applications:

  • Introduction to SAR Missions, Radar Remote Sensing Techniques and Applications to Land, and Interferometry Principles, L. Ronczyk (theory) (34 MB)

EO Platforms for Land Motion & Earthquakes:

  • Earth Observation Platforms for Land Motion and Earthquakes, M. Fourmelis (theory) (38 MB)
  • Geohazards Exploitation Platform (G-TEP): Earthquake and Subsidence Monitoring, M. Fourmelis (practical) (62 MB)

RS Assessments in the War Zone of Ukraine:

  • Detecting and Mapping War-Induced Damage to Agricultural Fields in Ukraine using Satellite Data, S. Skakun (theory) (43 MB)
  • Assessment of War-Caused Damage to Agricultural Fields Using Satellite Data and Artificial Intelligence, N. Kussul (theory) (16 MB)
  • Semantic Segmentation of the Planet’s SkySat Imagery for Artillery Crater Detection, S. Skakun (practical) (218 MB)

Mapping Burned Forest Areas using Airborne Hyperspectral Data:

  • Mapping of High, Medium, or Low Severity Burned Forest Areas using Airborne Hyperspectral Data, O. Brovkina (theory) (7 MB)
  • Measuring the Amount of Burned Area after Forest Fire in České Švýcarsko National Park, O. Brovkina (practical) (565 MB, to view, use the download button under ‘Access’)

Machine Learning Applications for Earth Observation and Hazard Mapping:

  • Machine Learning Applications in Earth Observation and Hazards, M. Ozdogan (theory) (19 MB)
  • URLs to Google Earth Engine Scripts, M. Ozdogan (practical) (0.29 MB)

Marine Geohazards in the Eastern Mediterranean Sea:  

  • Marine Geohazards in the Eastern Mediterranean Sea, P. Nomikou (theory) (693 MB, to view, use the download button under ‘Access’)

Copernicus Assisted Inland Water Quality Emergency Monitoring Service:

  • Copernicus Assisted Inland Water Quality Emergency Monitoring Service, I. Manakos (theory) (16 MB)
  • “Hydrop” : Hydroperiod Estimation for Wetland Areas using Spaceborne Time-Series Imageries, I. Manakos (Practical) (1 GB, to view, use the download button under ‘Access’)

Deep Learning in Fire Mapping:

  • Deep Learning in Fire Mapping, D. Stavrakoudis (theory) (9 MB)
  • EO Data Access from NASA, ESA, and Other Sources, D. Stavrakoudis (theory) (7 MB)
  • Mapping Burned Areas with Sentinel-2 Imagery, D. Stavrakoudis (Practical) (7 MB)

High-Resolution Thermal Imaging of Urban Heat Islands and Heat Waves:

  • High-Resolution Thermal Imaging of Urban Heat Islands and Heat Waves, G. Hulley (theory) (11 MB)